## Questions on Multilayer Perceptron or MLP

Asked By 300 points N/A Posted on -

What is Multilayer Perceptron? How we can train Multilayer Perceptrons?

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Answered By 0 points N/A #85702

## Questions on Multilayer Perceptron or MLP

"Multi layer Perceptron" (MLP) is a concept of Neural networks.

Its basically an input/output model that uses mapping methods for setting inputs data onto a specific set of outputs. Its basically a  'Feedforward artificial neural network'. Here, Feedforward basically means that data is flowing  in unidirectional  i.e in one direction from the  input towards output layer

A multi layer perceptron uses multiple nodes on layers mapped in a directed graph as such each layer is fully connected to the later one. Each node (except the input nodes) is a processing element known as neuron.

Your next question is how to train Multi layer perceptions.

This can be done by various training algorithms. The main

goal for training multi layer perceptron is to find the lowest point in the multi dimensional surface. The concept of error surface also helps in training MLPs, but its very complex. There are many characteristics such as local minima,saddle-points ,flat spots which are to be calculated. While performing it, the algorithm stops at the lowest point, which results in local minima.

Answered By 300 points N/A #85704

## Questions on Multilayer Perceptron or MLP

Hello,

Thanks for the Solution. Let me clear about the concept of Local Minima Please.

Answered By 0 points N/A #85705

## Questions on Multilayer Perceptron or MLP

Well basically in mathematics, Maxima and minima when taken collectively is known as Extrema. Local minima is an area which is above the 'Global minimum' and is lower than the 'Surrounding Terrain'.

Answered By 300 points N/A #85707

## Questions on Multilayer Perceptron or MLP

Can you explain me the concept of Error Surface?

Answered By 0 points N/A #85708

## Questions on Multilayer Perceptron or MLP

Yeah of course! We can say an 'Error surface' is a (n+1) dimensional surface area that represents the error terms of a network model based on n parameters.

Answered By 300 points N/A #85710

## Questions on Multilayer Perceptron or MLP

Okay. Thanks for the help.